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Advancing disaster policies by integrating dynamic adaptive behaviour in risk assessments using an agent-based modelling approach

Bibliographic Data

ID15550769
AuthorsToon Haer (0000-0001-6172-2793, Deltares, corresponding author), W J Wouter Botzen (0000-0002-8563-4963, Utrecht University), Jeroen C J H Aerts (0000-0002-2162-5814, Deltares)
Year2019
Volume14
Issue4
Pages044022-044022
Publication date2019-02-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab0770
OpenAlexW2913280365
LanguageEN
Citations received15
References cited14

Recent floods in the United States and Asia again highlighted their devastating effects, and without investments in adaptation, the future impact of floods will continue to increase. Key to making accurate flood-risk projections are assessments of how disaster-risk reduction (DRR) measures reduce risk and how much risk remains after adaptation. Current flood-risk-assessment models are illequipped to address this, as they assume a static adaptation path, implying that vulnerability will remain constant. We present a multi-disciplinary approach that integrates different types of adaptive behaviour of governments (proactive and reactive) and households (rational and boundedly rational) in a continental-scale risk-assessment framework for river flooding in the European Union. Our methodology demonstrates how flood risk and adaptation might develop, indicates how DRR policies can steer decisions towards optimal behaviour, and indicates how much residual risk remains that has to be covered by risk-transfer mechanisms. We find that the increase in flood risk due to climate change may be largely offset by adaptation decisions. Moreover, we illustrate that adaptation by households may be more influential for risk reduction than government protection in the short term. The results highlight the importance of integrating behavioural methods from social sciences with quantitative models from the natural sciences, as advocated by both fields

Adaptation (eye · Business · Climate change · Computer security · Disaster risk reduction · Economics · Environmental planning · Environmental resource management · European union · Flood myth · Flooding (psychology · Geography · Government (linguistics · Natural disaster · Risk analysis (engineering · Risk assessment · Vulnerability (computing · Climate change impacts on agriculture · Computer Science · Flood Risk Assessment and Management · Psychology · Tropical and Extratropical Cyclones Research

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Unique citing works15
Citations per year2,14
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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